insurance-pricing

Repository of GEMAct source code. Enjoy!

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

The complete actuarial pricing flow for Python. A structured framework that unifies GLM modeling, proper offset handling, and predictive diagnostics for professional non-life insurance pricing.

XGBoost Regressor to predict healthcare expenses based on features such as age, BMI, smoking, etc.

Claw🦞 agentic driven InsurTech🛡🤖AI-driven infrastructure that programmatically underwrites, covers risk, and processes claims/fraud with precise, algorithmic protection.

Reproducible R study of motor insurance pricing on freMTPL2, with separate reserving and excess-of-loss simulation examples.

Full-stack CRM for insurance operations with lead management, customer tracking, policy workflows, and a responsive dashboard UI.

GLM tooling for insurance pricing — nested GLM embeddings, R2VF factor level clustering, territory banding, SKATER

InsureSight is an intelligent insurance pricing engine that leverages ML to forecast premiums using demographics, medical history, and lifestyle factors. Delivers instant, data-driven cost predictions via an intuitive Streamlit interface.

Telecom outage detection and parametric insurance framework covering customer segmentation, pricing, basis risk and Monte Carlo capital modelling.

Constrained portfolio rate optimisation for insurance pricing — SLSQP, FCA ENBP, efficient frontier, shadow prices, JSON audit trail

This is the backend server for AssuredLife - a modern life insurance management platform. It is a role-based full-stack web application built with the MERN stack. It provides a secure and robust REST API to support the client-side application.

Model governance for insurance pricing — PRA SS1/23 validation reports, model risk management, risk tier scoring

Data visualization about smoking impact on insurance annual charges

End-to-end motor insurance claim frequency modelling using a Poisson GLM for actuarial pricing, risk analytics and underwriting decision support.

Unofficial Node.js SDK tailored for MyCover.ai.

Actuarial tail risk quantile/expectile regression for insurance pricing - TVaR, large loss loading, ILF curves, CatBoost

Novel pricing techniques from data science and quantitative finance, applied to UK personal lines insurance

Insurance Premium Optimization (End-to-end ML Ops project)